Increasing the Accessibility to Big Data Systems via a Common Services API

被引：0

作者：

Malcolm, Rohan ^{[1
]}

Morrison, Cherrelle ^{[1
]}

Grandison, Tyrone ^{[2
]}

Thorpe, Sean ^{[1
]}

Christie, Kimron ^{[1
]}

Wallace, Akim ^{[1
]}

Green, Damian ^{[1
]}

Jarrett, Julian ^{[1
]}

Campbell, Arnett ^{[1
]}

机构：

[1] Univ Technol, Computat Sci Res Grp, Sch Comp & Informat Technol, St Andrew, Jamaica

[2] Proficiency Labs Int, Ashland, OR USA

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2014年

关键词：

Big Data; Hadoop; API; Big Data Systems;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Despite the plethora of polls, surveys, and reports stating that most companies are embracing Big Data, there is slow adoption of Big Data technologies, like Hadoop, in enterprises. One of the primary reasons for this is that companies have significant investments in legacy languages and systems and the process of migrating to newer (Big Data) technologies would represent a substantial commitment of time and money, while threatening their short-term service quality and revenue goals. In this paper, we propose a possible solution that enables existing infrastructure to access Big Data systems via a services application programming interface (API); minimizing the migration drag and (possibly negative) business repercussions.

引用

页码：883 / 892

页数：10

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